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学者姓名：林志坚
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Mobile edge caching (MEC) has grown substantially with the rapid development in scale and complexity of data traffic. By exploiting the expansive coverage of autonomous aerial vehicles (AAVs), MEC enables services for massive vehicle users (VUs) simultaneously, which is promising for enhancing network transmission efficiency. Nonetheless, due to challenges arising from the timeliness and freshness of content services caused by AAVs' limited endurance and airborne capacity, caching strategy considering the real-time of content in large-scale dynamic Internet of Vehicles (IoV) environments remains open. With the above consideration, in this article, the cache refreshing cycle and content placement are jointly optimized in the cache-enabled AAV-assisted vehicular integrated networks (CAVINs) to minimize the content Age of Information (AoI) and energy consumption of the macro AAV. Since the joint optimization problem is variational coupled with nonconvex binary constraints, it is decoupled and solved by a double-iteration method. Specifically, the optimal cache refreshing cycle is derived in semi-closed form with the Karush-Kuhn-Tucker (KKT) conditions. The locally optimal solution of the content placement is obtained through successive convex approximation (SCA). Simulation results corroborate the effectiveness and superiority of the proposed scheme.
Keyword ：
Age of Information (AoI) Age of Information (AoI) Autonomous aerial vehicles Autonomous aerial vehicles Complexity theory Complexity theory Energy consumption Energy consumption Energy efficiency Energy efficiency Information age Information age Internet of Vehicles Internet of Vehicles Internet of Vehicles (IoV) Internet of Vehicles (IoV) mobile edge caching (MEC) mobile edge caching (MEC) Optimization Optimization Real-time systems Real-time systems Simulation Simulation unmanned aerial vehicles (AAVs)-assisted networks unmanned aerial vehicles (AAVs)-assisted networks Vehicle dynamics Vehicle dynamics
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| GB/T 7714 | Xiao, Yang , Lin, Zhijian , Cao, Xiaoxiao et al. AoI Energy-Efficient Edge Caching in AAV-Assisted Vehicular Networks [J]. | IEEE INTERNET OF THINGS JOURNAL , 2025 , 12 (6) : 6764-6774 . |
| MLA | Xiao, Yang et al. "AoI Energy-Efficient Edge Caching in AAV-Assisted Vehicular Networks" . | IEEE INTERNET OF THINGS JOURNAL 12 . 6 (2025) : 6764-6774 . |
| APA | Xiao, Yang , Lin, Zhijian , Cao, Xiaoxiao , Chen, Youjia , Lu, Xiaoqiang . AoI Energy-Efficient Edge Caching in AAV-Assisted Vehicular Networks . | IEEE INTERNET OF THINGS JOURNAL , 2025 , 12 (6) , 6764-6774 . |
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Abstract ：
Mobile edge caching (MEC) has emerged as a promising and economical solution to complement conventional infrastructure caching. Nonetheless, the vulnerability of vehicle-to-vehicle (V2V) links causes connection loss and limits data exchange. On the other hand, the traditional content popularity-based request model would lead to lower cache hit ratios and increased content retrieval times. To tackle this issue, a novel scheme of MEC-assisted public vehicular network is proposed in this study, where the random linear network coding (RLNC) based caching strategy is applied to allow public vehicles to simultaneously obtain coded blocks from multiple vehicles and infrastructures on the move. Besides, a content request model that considers content popularity, historical interest, and social attributes is explored. A cost minimization problem is formulated under the proposed scheme, which is a highly non-trivial stochastic problem. To this end, the data volume of V2V offloading is obtained by a divide and conquer (DC) algorithm, and then the caching strategy is derived by a heuristic-based algorithm. Finally, extensive simulations show that the proposed content model can achieve a higher local offloading ratio and the proposed scheme has a much lower cost compared to the baselines.
Keyword ：
Content request model Content request model Mobile edge caching Mobile edge caching Public vehicular networks Public vehicular networks V2V offloading V2V offloading
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| GB/T 7714 | Chen, Xiaopei , Lin, Zhijian , Wu, Wenhao et al. Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks [J]. | MOBILE NETWORKS & APPLICATIONS , 2025 . |
| MLA | Chen, Xiaopei et al. "Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks" . | MOBILE NETWORKS & APPLICATIONS (2025) . |
| APA | Chen, Xiaopei , Lin, Zhijian , Wu, Wenhao , Chen, Feng , Chen, Pingping . Cost-Efficient and Preference-Aware Mobile Edge Caching in Public Vehicular Networks . | MOBILE NETWORKS & APPLICATIONS , 2025 . |
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Mobile edge caching (MEC) has grown substantially with the rapid development in scale and complexity of data traffic. By exploiting the expansive coverage of unmanned aerial vehicles (UAVs), MEC enables services for massive vehicle users (VUs) simultaneously, which is promising for enhancing network transmission efficiency. Nonetheless, due to challenges arising from the timeliness and freshness of content services caused by UAVs' limited endurance and airborne capacity, caching strategy considering the real-time of content in large-scale dynamic Internet of Vehicles (IoV) environments remains open. With the above consideration, in this paper, the cache refreshing cycle and content placement are jointly optimized in the cache-enabled UAV-assisted vehicular integrated networks (CUVIN) to minimize the content age of information (AoI) and energy consumption of the macro UAV. Since the joint optimization problem is variational coupled with non-convex binary constraints, it is decoupled and solved by a double-iteration method. Specifically, the optimal cache refreshing cycle is derived in semi-closed form with the Karush-Kuhn-Tucker (KKT) conditions. The locally optimal solution of the content placement is obtained through successive convex approximation (SCA). Simulation results corroborate the effectiveness and superiority of the proposed scheme. © 2024 IEEE.
Keyword ：
Age of information (AoI) Age of information (AoI) internet of vehicles (IoV) internet of vehicles (IoV) mobile edge caching (MEC) mobile edge caching (MEC) unmanned aerial vehicles (UAV)-assisted networks unmanned aerial vehicles (UAV)-assisted networks
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| GB/T 7714 | Xiao, Y. , Lin, Z. , Cao, X. et al. AoI-Energy-Efficient Edge Caching in UAV-Assisted Vehicular Networks [J]. | IEEE Internet of Things Journal , 2024 . |
| MLA | Xiao, Y. et al. "AoI-Energy-Efficient Edge Caching in UAV-Assisted Vehicular Networks" . | IEEE Internet of Things Journal (2024) . |
| APA | Xiao, Y. , Lin, Z. , Cao, X. , Chen, Y. , Lu, X. . AoI-Energy-Efficient Edge Caching in UAV-Assisted Vehicular Networks . | IEEE Internet of Things Journal , 2024 . |
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In this paper, we develop a non-coherent differential chaos shift keying based index modulation by using initial value index (IVI-DCSK) to convey additional information for wireless communications. In the proposed scheme, mc mapped bits are carried by 2mc chaotic sequences by exploiting the quasi-orthogonality of different chaotic signals, while the modulated bit is carried by DCSK. To diminish the multiuser interference, the references allocated to different users are sent in individual time slots, while the information-bearing sequences for the mapped bits of users are sent simultaneously. We then derive the bit error rate (BER) expression of multi-user IVI-DCSK over multipath Rayleigh fading channels. The theoretical and consistent simulation results show that the proposed IVI-DCSK achieves significant gains over the conventional chaotic-based index modulations, i.e., permutation index DCSK (PI-DCSK) and code index modulation DCSK (CIM-DCSK). This gain can be more than 4 dB in fading channels with high multipath delay. In addition, it achieves higher energy and spectral efficiencies over the latter ones. The superiority of the proposed scheme is further verified in practical ultra-wideband (UWB) communications. Thus, this proposed scheme is efficient and promising for chaotic-based low-complexity communications, such as in wireless local area network (WLAN) and indoor applications. IEEE
Keyword ：
Chaotic communication Chaotic communication Codes Codes differential chaos shift keying (DCSK) differential chaos shift keying (DCSK) Indexes Indexes index modulation (IM) index modulation (IM) Modulation Modulation multiple access (MA) multiple access (MA) Symbols Symbols Vectors Vectors Wireless communication Wireless communication
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| GB/T 7714 | Chen, P. , Chen, H. , Shi, L. et al. Initial Chaotic Value-based Index Modulation for Wireless Communications [J]. | IEEE Transactions on Communications , 2024 : 1-1 . |
| MLA | Chen, P. et al. "Initial Chaotic Value-based Index Modulation for Wireless Communications" . | IEEE Transactions on Communications (2024) : 1-1 . |
| APA | Chen, P. , Chen, H. , Shi, L. , Lin, Z. , Li, Y. . Initial Chaotic Value-based Index Modulation for Wireless Communications . | IEEE Transactions on Communications , 2024 , 1-1 . |
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The rapid growth of intelligent connected vehicles fosters the development of Internet-of-Vehicle (IoV) applications. Due to the complex traffic environments, integrated sensing, communication and computation (ISCC) technology would be seen as an efficient paradigm to support a plethora of IoV applications, which causes such a surge of computation-intensive tasks that the task computation with a single server node cannot keep energy-efficient under the strict delay constraints. Inspired by the idea of distributed computing, a scheme of distributed edge computing-based task offloading for ISCC is designed and various assisted edge nodes (AENs) are introduced in a stochastic geometry approach to alleviate the dilemma of energy consumption. After analyzing the proposed joint optimization problem for energy minimization, a double-iteration joint optimization algorithm (DIJOA) is developed to derive the solution. The results of the performance evaluation not only verify the plausibility of the proposed model, but also indicate that the introduction of AENs can significantly reduce system energy consumption and the proposed algorithm outperforms other schemes by over 2.5% in energy consumption, which corroborates the superiority of the proposed scheme through numerical simulations. IEEE
Keyword ：
communication and computation (ISCC) communication and computation (ISCC) distributed edge computing distributed edge computing Energy consumption Energy consumption integrated sensing integrated sensing Internet of Vehicles (IoV) Internet of Vehicles (IoV) Optimization Optimization Sensors Sensors Servers Servers Signal to noise ratio Signal to noise ratio stochastic geometry stochastic geometry Task analysis Task analysis TV TV
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| GB/T 7714 | Lin, Z. , Yang, J. , Wu, C. et al. Energy-Efficient Task Offloading for Distributed Edge Computing in Vehicular Networks [J]. | IEEE Transactions on Vehicular Technology , 2024 , 73 (9) : 1-6 . |
| MLA | Lin, Z. et al. "Energy-Efficient Task Offloading for Distributed Edge Computing in Vehicular Networks" . | IEEE Transactions on Vehicular Technology 73 . 9 (2024) : 1-6 . |
| APA | Lin, Z. , Yang, J. , Wu, C. , Chen, P. . Energy-Efficient Task Offloading for Distributed Edge Computing in Vehicular Networks . | IEEE Transactions on Vehicular Technology , 2024 , 73 (9) , 1-6 . |
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The sharp development of maritime activities fosters maritime Internet-of-Things (M-IoT) applications. However, the computation resources of vessels are limited, which cannot adequately satisfy high-quality services in M-IoT. With this consideration, space-air-ground-sea integrated networks (SAGSINs) are introduced in this work. Besides, a maritime distributed computation offloading framework is designed. Furthermore, an energy consumption minimization problem is formulated to jointly optimize the offloading strategy and the bandwidth allocation. For solution, a double-iteration penalty-limited simulated annealing-based particle swarm optimization algorithm is proposed. Simulations are conducted to validate our analysis and corroborate the effectiveness of the proposed scheme. IEEE
Keyword ：
distributed computation offloading distributed computation offloading energy consumption minimization energy consumption minimization Maritime Internet of Things (M-IoT) Maritime Internet of Things (M-IoT) space-air-ground-sea integrated network (SAGSIN) space-air-ground-sea integrated network (SAGSIN)
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| GB/T 7714 | Lin, Z. , Yang, J. , Chen, Y. et al. Maritime Distributed Computation Offloading in Space-Air-Ground-Sea Integrated Networks [J]. | IEEE Communications Letters , 2024 , 28 (7) : 1-1 . |
| MLA | Lin, Z. et al. "Maritime Distributed Computation Offloading in Space-Air-Ground-Sea Integrated Networks" . | IEEE Communications Letters 28 . 7 (2024) : 1-1 . |
| APA | Lin, Z. , Yang, J. , Chen, Y. , Xu, C. , Zhang, X. . Maritime Distributed Computation Offloading in Space-Air-Ground-Sea Integrated Networks . | IEEE Communications Letters , 2024 , 28 (7) , 1-1 . |
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Abstract ：
The sharp development of maritime activities fosters maritime Internet-of-Things (M-IoT) applications. However, the computation resources of vessels are limited, which cannot adequately satisfy high-quality services in M-IoT. With this consideration, space-air-ground-sea integrated networks (SAGSINs) are introduced in this work. Besides, a maritime distributed computation offloading framework is designed. Furthermore, an energy consumption minimization problem is formulated to jointly optimize the offloading strategy and the bandwidth allocation. For solution, a double-iteration penalty-limited simulated annealing-based particle swarm optimization algorithm is proposed. Simulations are conducted to validate our analysis and corroborate the effectiveness of the proposed scheme.
Keyword ：
Bandwidth Bandwidth distributed computation offloading distributed computation offloading Energy consumption Energy consumption energy consumption minimization energy consumption minimization Maritime Internet of Things (M-IoT) Maritime Internet of Things (M-IoT) Receiving antennas Receiving antennas Satellite communications Satellite communications Satellites Satellites space-air-ground-sea integrated network (SAGSIN) space-air-ground-sea integrated network (SAGSIN) Task analysis Task analysis Transmitting antennas Transmitting antennas
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| GB/T 7714 | Lin, Zhijian , Yang, Jianjie , Chen, Yingyang et al. Maritime Distributed Computation Offloading in Space-Air-Ground-Sea Integrated Networks [J]. | IEEE COMMUNICATIONS LETTERS , 2024 , 28 (7) : 1614-1618 . |
| MLA | Lin, Zhijian et al. "Maritime Distributed Computation Offloading in Space-Air-Ground-Sea Integrated Networks" . | IEEE COMMUNICATIONS LETTERS 28 . 7 (2024) : 1614-1618 . |
| APA | Lin, Zhijian , Yang, Jianjie , Chen, Yingyang , Xu, Chen , Zhang, Xiaoqing . Maritime Distributed Computation Offloading in Space-Air-Ground-Sea Integrated Networks . | IEEE COMMUNICATIONS LETTERS , 2024 , 28 (7) , 1614-1618 . |
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场景文本图像超分辨率（Scene Text Image Super-Resolution, STISR）旨在提高文本在低分辨率图像中的分辨率和可读性.但是在空间变形或低分辨率的文本图像中，由于缺乏文本区域细节，语义线索和视觉特征信息难以与字符位置匹配对齐，文本识别效果不佳.针对该问题，本文提出多域字符距离感知的场景文本图像超高分辨率重建方法（Perceiving Multi-Domain Character distance super-resolution, PMDC），强化视觉语义特征，提高文本区域和纹理信息.首先，采用非对称卷积以及语义先验信息模块，提取文本图像的视觉和语义特征信息；其次，融合字符距离感知模块中的视觉和语义特征，得到增强位置编码感知字符间的间距变化和语义相似性；最后，结合引导线索和视觉特征对像素进行重组得到超分辨率文本图像.在公开数据集TextZoom上的实验结果，与最近TATT文本超分网络性能相比，在峰值信噪比指标上提高0.11 dB，有效提高文本清晰度和边缘纹理细节，同时提升1.5%的平均识别准确率，改进文本图像的可读性.
Keyword ：
场景文本图像 场景文本图像 注意力机制 注意力机制 特征信息关联 特征信息关联 计算机视觉 计算机视觉 超分辨率 超分辨率
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| GB/T 7714 | 黄俊炀 , 陈宏辉 , 王嘉宝 et al. 多域字符距离感知的场景文本图像超分辨率重建 [J]. | 电子学报 , 2024 , 52 (07) : 2262-2270 . |
| MLA | 黄俊炀 et al. "多域字符距离感知的场景文本图像超分辨率重建" . | 电子学报 52 . 07 (2024) : 2262-2270 . |
| APA | 黄俊炀 , 陈宏辉 , 王嘉宝 , 陈平平 , 林志坚 . 多域字符距离感知的场景文本图像超分辨率重建 . | 电子学报 , 2024 , 52 (07) , 2262-2270 . |
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Abstract ：
The rapid growth of intelligent connected vehicles fosters the development of Internet-of-Vehicle (IoV) applications. Due to the complex traffic environments, integrated sensing, communication and computation (ISCC) technology would be seen as an efficient paradigm to support a plethora of IoV applications, which causes such a surge of computation-intensive tasks that the task computation with a single server node cannot keep energy-efficient under the strict delay constraints. Inspired by the idea of distributed computing, a scheme of distributed edge computing-based task offloading for ISCC is designed and various assisted edge nodes (AENs) are introduced in a stochastic geometry approach to alleviate the dilemma of energy consumption. After analyzing the proposed joint optimization problem for energy minimization, a double-iteration joint optimization algorithm (DIJOA) is developed to derive the solution. The results of the performance evaluation not only verify the plausibility of the proposed model, but also indicate that the introduction of AENs can significantly reduce system energy consumption and the proposed algorithm outperforms other schemes by over 2.5% in energy consumption, which corroborates the superiority of the proposed scheme through numerical simulations.
Keyword ：
communication and computation (ISCC) communication and computation (ISCC) distributed edge computing distributed edge computing integrated sensing integrated sensing Internet of vehicles (IoV) Internet of vehicles (IoV) stochastic geometry stochastic geometry
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| GB/T 7714 | Lin, Zhijian , Yang, Jianjie , Wu, Celimuge et al. Energy-Efficient Task Offloading for Distributed Edge Computing in Vehicular Networks [J]. | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2024 , 73 (9) : 14056-14061 . |
| MLA | Lin, Zhijian et al. "Energy-Efficient Task Offloading for Distributed Edge Computing in Vehicular Networks" . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY 73 . 9 (2024) : 14056-14061 . |
| APA | Lin, Zhijian , Yang, Jianjie , Wu, Celimuge , Chen, Pingping . Energy-Efficient Task Offloading for Distributed Edge Computing in Vehicular Networks . | IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY , 2024 , 73 (9) , 14056-14061 . |
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In view of the problems of high demand of computation offloading in vehicular networks and the random⁃ ness of topology variation of vehicular networks, this paper proposes a vehicular multi-hop clustering scheme based on neighbor following and investigates its stability by multiple indicators. Existing research offers various vehicular clustering schemes, but they suffer from issues such as single indicator, being limited to a single hop or fixed number of hops, low clustering efficiency, and lacking a mechanism for cluster head replacement. As the neighbor following strategy has better stability and higher clustering efficiency, in the scheme designed in this paper, vehicles should follow the most stable vehi⁃ cle based on the comprehensive indicators within neighboring nodes. The de-ringing and pruning algorithms are used to standardize and flatten the following structure of vehicles, forming a more stable vehicular cluster. The master-slave cluster header and the cluster maintenance mechanism are employed to enhance the robustness of vehicular cluster. Simulation re⁃ sults show that the proposed algorithm outperforms existing methods in terms of cluster stability and clustering efficiency. © 2024 Chinese Institute of Electronics. All rights reserved.
Keyword ：
Clustering algorithms Clustering algorithms Efficiency Efficiency Stability Stability
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| GB/T 7714 | Lin, Zhi-Jian , Wu, Wen-Hao , Chen, Xiao-Pei et al. Research on the Stability of Multi-Hop Clustering Based on Neighbor Following Method in Vehicular Networks [J]. | Acta Electronica Sinica , 2024 , 52 (4) : 1260-1268 . |
| MLA | Lin, Zhi-Jian et al. "Research on the Stability of Multi-Hop Clustering Based on Neighbor Following Method in Vehicular Networks" . | Acta Electronica Sinica 52 . 4 (2024) : 1260-1268 . |
| APA | Lin, Zhi-Jian , Wu, Wen-Hao , Chen, Xiao-Pei , Zeng, Ze-Xiong , Lin, Yong-Hang , Chen, Ping-Ping . Research on the Stability of Multi-Hop Clustering Based on Neighbor Following Method in Vehicular Networks . | Acta Electronica Sinica , 2024 , 52 (4) , 1260-1268 . |
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